AIMC Topic: Patient Readmission

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Borderline Personality Features in Inpatients with Bipolar Disorder: Impact on Course and Machine Learning Model Use to Predict Rapid Readmission.

Journal of psychiatric practice Jul 1, 2019
BACKGROUND: Earlier research indicated that nearly 20% of patients diagnosed with either bipolar disorder (BD) or borderline personality disorder (BPD) also met criteria for the other diagnosis. Yet limited data are available concerning the potential...
Machine Learning Female Adult Male Humans Inpatients Patient Readmission Affect Borderline Personality Disorder Length of Stay Personality Bipolar Disorder Models, Statistical
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Same-Day Conventional Different-Day Endoscopic Retrograde Cholangiopancreatography and Laparoscopic Cholecystectomy: A Multi-Center Retrospective Study.

The American surgeon Oct 1, 2018
Same-day endoscopic retrograde cholangiopancreatography (ERCP) and cholecystectomy (LC) could potentially reduce hospital length of stay (HLOS). Patients undergoing same-day procedures (N = 164) between 2012 and 2014 were compared with different-day ...
Length of Stay Ambulatory Surgical Procedures Patient Readmission Humans Female Treatment Outcome Choledocholithiasis Patient Safety Cholangiopancreatography, Endoscopic Retrograde Blood Loss, Surgical Male Retrospective Studies Cholecystectomy, Laparoscopic Middle Aged California Postoperative Complications
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Predicting Intensive Care Unit Readmission with Machine Learning Using Electronic Health Record Data.

Annals of the American Thoracic Society Jul 1, 2018
RATIONALE: Patients transferred from the intensive care unit to the wards who are later readmitted to the intensive care unit have increased length of stay, healthcare expenditure, and mortality compared with those who are never readmitted. Improving...
Patient Readmission Electronic Health Records Illinois Female Male Machine Learning Middle Aged Retrospective Studies Risk Assessment Critical Illness Time Factors Intensive Care Units ROC Curve Follow-Up Studies Humans
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Machine Learning Models for Prediction of Reinjury After Penetrating Trauma.

JAMA surgery Feb 1, 2018
This study compares several machine learning models for prediction of reinjury after penetrating trauma.
Models, Theoretical Patient Readmission Self-Injurious Behavior Recurrence Wounds, Penetrating Mental Disorders Databases, Factual Suicide United States Humans Machine Learning Forecasting
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Utilising Information of the Case Fee Catalogue to Enhance 30-Day Readmission Prediction in the German DRG System.

Studies in health technology and informatics Jan 1, 2018
Unplanned hospital readmissions are a burden to the healthcare system and to the patients. To lower the readmission rates, machine learning approaches can be used to create predictive models, with the intention to provide actionable information for c...
Prognosis Hospitals ROC Curve Humans Patient Readmission Machine Learning Germany Forecasting Diagnosis-Related Groups
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Prediction of Readmissions in the German DRG System Based on §21 Datasets.

Studies in health technology and informatics Jan 1, 2018
Hospital readmissions receive increasing interest, since they are burdensome for patients and costly for healthcare providers. For the calculation of reimbursement fees, in Germany there is the German-Diagnosis Related Groups (G-DRG) system. For ever...
Humans Patient Readmission Machine Learning Germany Forecasting Diagnosis-Related Groups Length of Stay
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Predicting Risk of 30-Day Readmissions Using Two Emerging Machine Learning Methods.

Studies in health technology and informatics Jan 1, 2018
Decades-long research efforts have shown that Heart Failure (HF) is the most expensive diagnosis for hospitalizations and the most frequent diagnosis for 30-day readmissions. If risk stratification for readmission of HF patients could be carried out ...
Machine Learning Humans Forecasting Hospitalization United States Risk Assessment Patient Discharge Heart Failure Patient Readmission
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Comparison of Machine Learning Algorithms for the Prediction of Preventable Hospital Readmissions.

Journal for healthcare quality : official publication of the National Association for Healthcare Quality Jan 1, 2018
A diverse universe of statistical models in the literature aim to help hospitals understand the risk factors of their preventable readmissions. However, these models are usually not necessarily applicable in other contexts, fail to achieve good discr...
Female Risk Factors Aged Aged, 80 and over Algorithms Forecasting Retrospective Studies Adolescent United States Models, Statistical Patient Discharge Young Adult Adult Male Middle Aged Humans Machine Learning Patient Readmission Centers for Medicare and Medicaid Services, U.S.
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Contribution of Natural Language Processing in Predicting Rehospitalization Risk.

Medical care Aug 1, 2017
Risk Risk Factors Natural Language Processing Patient Readmission Humans
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A Novel Model for Predicting Rehospitalization Risk Incorporating Physical Function, Cognitive Status, and Psychosocial Support Using Natural Language Processing.

Medical care Mar 1, 2017
BACKGROUND: With the increasing focus on reducing hospital readmissions in the United States, numerous readmissions risk prediction models have been proposed, mostly developed through analyses of structured data fields in electronic medical records a...
Risk Factors Mental Health Risk Assessment Social Support Patient Readmission Humans Academic Medical Centers Cognition Focus Groups Models, Theoretical Health Status Natural Language Processing
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